Abstract
Digital image processing (DIP) has become an integral tool in healthcare, enabling advancements in medical imaging, diagnosis, and treatment planning. This paper explores the applications, challenges, and future prospects of DIP in healthcare, emphasizing its impact on improving accuracy and efficiency. It also highlights the role of artificial intelligence (AI) and machine learning (ML) in advancing image analysis, segmentation, and interpretation. Furthermore, this paper discusses how emerging technologies, such as edge computing and cloud integration, are shaping the future of digital image processing in healthcare.
Keywords
Digital Image Processing, Healthcare, Medical Imaging, Artificial Intelligence, Image Segmentation, Telemedicine.
Citations
IRE Journals:
Sachin Sharma, Krati Bhatnagar "Digital Image Processing in Healthcare" Iconic Research And Engineering Journals Volume 9 Issue 9 2026 Page 1981-1985 https://doi.org/10.64388/IREV9I9-1715368
IEEE:
Sachin Sharma, Krati Bhatnagar
"Digital Image Processing in Healthcare" Iconic Research And Engineering Journals, 9(9) https://doi.org/10.64388/IREV9I9-1715368
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